Optimisation
Risk-led optimisation for blending, scheduling, and planning — anchored to financial reality and built for execution.
Optimisation
Move beyond “optimisation churn”. Targeted scenarios, financially informed, executable by site teams.
Optimisation That Holds Up in the Real World
LP Planning + Scenario Discipline
3–5 targeted re-solves to answer the real questions — not 100 scenarios no one uses.
Anchored to Cost Models
Tie outcomes to a first-principles cost and financial model so trade-offs are explicit.
Value × Probability × Achievability
Risk-led workflows that prioritise outcomes teams can realistically deliver.
Operational Decision Support
Turn strategic outputs into the rules and guardrails that guide daily decisions.
Optimisation you can execute
Let's build a workflow that stakeholders trust and teams can run.
Frequently Asked Questions
What is pit optimisation?
Pit optimisation uses algorithms (typically Lerchs-Grossmann or pseudoflow) to determine the ultimate pit limit that maximises the net present value of a deposit, subject to geotechnical, metallurgical, and economic constraints.
What is mine schedule optimisation?
Mine schedule optimisation determines the sequence and timing of mining each block to maximise NPV while respecting practical constraints like plant capacity, equipment availability, blending targets, and pit access.
How does optimisation differ from traditional mine planning?
Traditional planning relies on manual cut-back designs and engineering judgement. Optimisation uses mathematical programming to evaluate millions of possible sequences and find the one that maximises value — often delivering 5–15% NPV improvement over manual plans.
What software do you use for mine optimisation?
We use a combination of commercial tools (MineMax, Whittle) and our proprietary MiningIQ platform, which includes pseudoflow pit shell generation, Bienstock-Zuckerberg scheduling, and sliding-window MILP solvers.